本文主要研究新闻标题中的VN1+N2结构，试图以VN1+N2结构的历史研究为起点，以《新京报》、《北京青年报》和 《中国青年报》三大报纸的新闻标题为研究对象，运用量化的统计对比分析方法，发现一些新特点、新规律，并探究 VN1+N2 多出现于新闻标题的原因。全文共分为五个部分: 第一章:VN1+N2 结构研究现状概述。通过这一章，我们可以了解到前人对此结构的研究内容及水平。 第二章:VN1+N2结构及其语义特点。这一章主要描述VN1+N2结构中VN1、N2的特点。 第三章:VN1+N2结构的新特点、新规律。通过对三份报纸语料的统计分析，我们可以发现VN1+N2结构多出现于财经、商业和政治领域;N2的类型比例随着时间的推移也有了部分变化，主要是对象宾语、处所宾语和数量宾语比例的变化; 最后是部分出现频率较高的VN1的分析。 第四章:VN1+N2结构多出现于新闻标题的原因。尝试从VN1+N2的结构特点和新闻标题的个性及其制作原则方面探索VN1+N2多用于新闻标题的原因。 第五章: 总结。对全文作总结，并提出有待进一步思考、解决的问题。

This thesis mainly researches"Verb of NP + Object"in the news titles.Based on the historical research, it makes the news titles of the Beijing News, Beijing Youth Daily and China Youth Daily as the research object by using the method of analysis and quantity statistics. And it aims at the new characteristics,the new rules and the reasons why "Verb of NP+Ｏbject" often applies the news titles. The whole thesis can be divided into five parts. Chapter I:The panorama of "Verb of NP + Object"at the present situation.We can know the contents and the level of the "Verb of NP + Object"research by this chapter. Chapter II:The structure and semantic meaning characteristics of "Verb of NP + Object". This chapter mainly describes the characteristics of the "Verb of NP" and the "Ｏbject". Chapter Ⅲ:The new characteristics and the new rules of "Verb of NP + Ｏbject".Through the statistic analysis of three newspaper materials,we can find out that the "Verb of NP+ Object"often appears in the economic,commercial and political fields;the proportion of the type of the "Object"changed partly as time passing by,mainly the variations of the proportions of target object,location object and quantity object;finally it was the analysis of the "Verb of NP"which appears frequently. Chapter IV:The reason why "Verb of NP + Object"often appears in the news titles.It probed into the cause on its characteristic of structure, the particularity of the news titles and the making rules. Chapter V:Conclusion. Sum up the whole thesis, and then find out the questions which can be thought over and solved further.